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2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540)
DOI: 10.1109/wcnc.2000.904778
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Bit error rate performance of a generalized diversity selection combining scheme in Nakagami fading channels

Abstract: The severity of fading on mobile communication channels calls for the combining of multiple diversity sources to achieve acceptable error rate performance. Traditional approaches perform the combining of the different diversity sources using either: the Conventional Selective diversity combining (CSC), Equal-Gain combining (EGC),

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Cited by 47 publications
(17 citation statements)
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“…In Table 3, we tabulate the effects of user mobility on the behavior of the threshold-based scheduler, after simulating several results similar to Figures 4,5,6,7,but for different values of the threshold. It can be observed from this table that when the scheduler operates with large threshold, such as μ> 0.5, the algorithm will seek high capacity enhancement (or less user fairness), and thus users with high mobility tend to be given fewer number of PRB's.…”
Section: User Mobility Issuesmentioning
confidence: 99%
See 1 more Smart Citation
“…In Table 3, we tabulate the effects of user mobility on the behavior of the threshold-based scheduler, after simulating several results similar to Figures 4,5,6,7,but for different values of the threshold. It can be observed from this table that when the scheduler operates with large threshold, such as μ> 0.5, the algorithm will seek high capacity enhancement (or less user fairness), and thus users with high mobility tend to be given fewer number of PRB's.…”
Section: User Mobility Issuesmentioning
confidence: 99%
“…Threshold-based selection method was first proposed by Sulyman and Kousa in [5] for the diversity combining problem in a single-user transmission system, and has been widely studied in the literature [6][7][8][9][10][11][12][13]. In the context of multiuser scheduling in WiMAX OFDMA network, the author in [1] recently examines the use of a threshold-based multiuser scheduling, where a BS scheduler uses the energy threshold criterion [5][6][7][8][9][10][11][12][13], to select the users to be scheduled for downlink transmission in WiMAX network at any time instant.…”
Section: Introductionmentioning
confidence: 99%
“…The number of selected fingers m is decided a priori in [1]- [4], while it varies dynamically in [5]- [7]. Note that the MRC is a special case of a GSC, where the number of selected fingers m is fixed to L. For the latter approach in which m varies dynamically, an absolute threshold GSC (AT-GSC) selects fingers whose SNRs are greater than a given threshold [5], [6]. Alternatively, a normalized threshold GSC (NT-GSC) selects fingers whose relative SNRs to the maximum SNR among all fingers are greater than a given threshold [5], [7].…”
Section: Introductionmentioning
confidence: 99%
“…Two further developments in GSC have been proposed and analyzed [2], [6], [7]. The key idea is to allow M vary by discarding highly faded branch signals dynamically depending on the received branch signal strength profile.…”
Section: Introductionmentioning
confidence: 99%
“…The key idea is to allow M vary by discarding highly faded branch signals dynamically depending on the received branch signal strength profile. Sulyman and Kousa [6] and Yue [2] present a normalized threshold GSC (NT-GSC) scheme, which combines the branches whose relative branch strength (the ratio of the SNR of each branch to the maximum SNR) exceeds a fixed normalized threshold T (0 < T ≤ 1). Yue [2] presents AT-GSC, which combines all the branches with SNR's above a fixed threshold (say, γ th ).…”
Section: Introductionmentioning
confidence: 99%